Browse publications by year: 2017

  1. Azmah Hanim, M.A., Mohamad Aznan, M.N., Muhammad Raimi, R., Muhammad Azrol Amin, A.
    MyJurnal
    The formation of intermetallic compound (IMC) layer at the interfaces of pad finishes has been studied.
    The growth of IMC layer as a reflow process and its properties were also discussed. In this study, solder
    alloy SAC237 (Sn: 99 wt.%, Ag: 0.3 wt.%, Cu: 0.7 wt.%), reinforced with 0.01 wt.% Multi-Walled
    Carbon Nanotubes (MWCNTs), was mixed to form a composite solder paste and soldered on Electroless
    Nickel Immersion Gold (ENIG) and Immersion Tin (ImSn) pad finishes. Reflow process was conducted
    in oven with specific reflow profile. The growth and properties of IMC layer were analysed using optical
    microscope with image analyser. Results showed that the thickness of IMC layer for ENIG and ImSn
    were 1.49 and 2.51 µm, respectively. Floating IMC and voids within the solder bulk and IMC layer
    were also identified in the samples. In addition, the measured wetting angle for ENIG and ImSn were
    16.21° and 34.32°, respectively.
  2. Suganthi Cinnasami, Md Hanip Rafia, Joyce Pauline Joseph
    Neurology Asia, 2017;22(1):81-84.
    MyJurnal
    There is variable prevalence of multiple sclerosis, higher in those residing in latitude away from
    the equator, and among the Caucasian population. Multiple sclerosis has not been reported in some
    countries, partly related to access to modern medicine. Although multiple sclerosis has been reported
    among the Somali diaspora, it has not been reported among the residents in Somalia. We report an
    adult Somali woman who has relapsing remitting multiple sclerosis for 8 years, affecting the optic
    nerves, cerebellum and spinal cord.
  3. Wang H, Vidyadaran S, Mohd Moklas MA, Baharuldin MTH
    PMID: 29358962 DOI: 10.1155/2017/2623163
    Objective: To explore the effect of Ficus deltoidea (FD) aqueous extracts on the release of tumor necrosis factor-α (TNF-α), the expression of CD40, and the morphology of microglial cells in lipopolysaccharide- (LPS-) activated BV2 cells.

    Methods: The cytotoxicity of FD extract was assessed by MTS solution. BV2 cells were divided into 5 experimental groups, intervened, respectively, by FD (4 mg/mL) and LPS + FD (0, 1, 2, and 4 mg/mL). Besides, a blank control group was set up without any intervention. TNF-α release was assessed by enzyme linked immunosorbent assay (ELISA). The expression of CD40 was examined by flow cytometry. Immunocytochemical staining was used to show the morphology of BV2 cells.

    Results: FD extract of different concentrations (1, 2, and 4 mg/mL) had no significant toxic effects on the BV2 cells. FD suppressed the activation of microglia in morphology and reduced TNF-α production and expression of CD40 induced by LPS.

    Conclusion: FD extract has a therapeutic potential against neuroinflammatory diseases.

    MeSH terms: Enzyme-Linked Immunosorbent Assay; Flow Cytometry; Lipopolysaccharides; Staining and Labeling; Tumor Necrosis Factor-alpha; Microglia; Ficus; Control Groups
  4. Matsukawa, Yoshiaki, Watanabe, Masayuki, Mitani, Yasunori, Mohammad Lutfi Othman
    MyJurnal
    Phasor Measurement Units (PMUs) are an important component in Wide Area Protection (WAP)- based
    operations in power systems. It is needed that a certain placement scheme of PMUs is suggested if
    power system scale gets larger. The optimal placement of PMU in power systems has been considered
    and formulated in order to reduce the number of installed PMUs while accomplishing a desired level of
    reliability of observation. Optimal PMU Placement (OPP) problem as the combinatorial optimization
    problem has been formulated to determine the minimum PMU location in the power system. In this paper,
    Disparity Evolution-type Genetic Algorithm (DEGA) based on disparity theory of evolution is applied.
    Genetic Algorithm (GA) is employed for the purpose of comparison with DEGA. The optimization
    model is solved for IEEE 118 standard bus system. DEGA can find better placement suggestion compared
    with GA because of the nature of evolution that models the double spiral structure of DNA to hold the
    diversity of population.
  5. Shahid Iqbal, Imran Shahzad, M., Soib Taib
    MyJurnal
    This paper proposes a half-bridge LLC resonant converter with two resonant tanks for plug-in electric
    vehicle (PEV) battery charging. Each resonant tank is connected with one of the centre-tapped primary
    windings of the power transformer. Both resonant tanks are fed alternately by a half cycle of the switching
    pulse in one period. The converter is designed to operate below resonance zero-voltage switching (ZVS)
    region to reduce switching losses and to achieve output DC voltage range 250V-420V with 400V input
    DC voltage for depleted PEV battery. MATLAB Simulink is used to simulate the circuit with 1.5 kW
    maximum power and the simulation results show that the converter can meet the constant-current,
    constant-voltage (CC-CV) charging requirements of the depleted PEV battery.
  6. Jumaidin, R., Sapuan, S.M., Jawaid, M., Ishak, M.R., Sahari J.
    MyJurnal
    Modification of thermoplastic starch with other natural polymer is a promising research since the
    combination of both material will produce a fully green polymer with modified properties. The aim of
    this paper is to investigate the effects of agar on physical properties of thermoplastic sugar palm starch
    (SPS). Various types of thermoplasctic SPS based polymer were prepared by blending SPS and agar
    with the presence of glycerol as a plasticiser. Agar with various contents (10, 20, 30, and 40 wt%) were
    mixed with thermoplastic SPS via melt mixing before compression moulded into 3 mm mould plate.
    The prepared laminates were characterised for the moisture content, density, water absorption, thickness
    swelling and water solubility. Results showed that incorporation of agar has slightly increased the moisture
    content and water absorption capacity of the blends. Slight increment in thickness swelling was observed
    for thermoplastic SPS after incorporation with agar (40 wt%). Water solubility of thermoplastic SPS
    was slightly increased with incorporation of agar (40 wt%). Similar density was recorded for all ratios
    of agar, which indicated that the incorporation of agar did not influence the density of thermoplastic
    SPS. In conclusion, the incorporation of agar has
    slightly increased the hydrophilic behaviour of
    thermoplastic SPS.
  7. Shair, E. F., Ahmad, S. A., Marhaban, M. H., Abdullah, A. R., Mohd Tamrin, S. B.
    MyJurnal
    Musculoskeletal disorders (MSDs) caused by muscle fatigue have been a major problem for industry
    which needs to be resolved to save costs related to human resource development (extra training and
    compensation). Detailed fatigue monitoring researches aimed at finding the best fatigue indices is not
    new although studies on the causes of fatigue can be explored further. Identification analysis is required
    to monitor the factors that influence muscle performance characteristic of surface electromyography
    (sEMG) signal. Periodogram monitoring technique applies a frequency domain signal and represents the
    distribution of the signal power over the frequency. It is a technique that allows the tracing of small
    changes in the behaviour of sEMG signal when external parameters are varied. This technique is used
    in this paper to monitor the sEMG signal changes in muscle performance when the lifting height and
    load mass are varied. The periodogram amplitude, which represents the power, increases with the rise in
    lifting height and load mass. From the frequency representation of the periodogram, the root mean square
    voltage (Vrms) is calculated where the muscle performance characteristic could be further identified. The
    Vrms also shows a similar trend when the lifting height and load mass are varied proving the periodogram
    technique is useful to monitor changes in the muscle performance during manual lifting.
  8. Irfan Ahmed Shaikh, Ashifa Soomro, Saeed Ahmed Dahri, Aimrun Wayayok, Munir Ahmed Mangrio, Kanya Lal Khatri
    MyJurnal
    This study was attempted to evaluate infiltration methods based on irrigation advance for furrow
    irrigation. Irrigation advance data were collected at Latif farm, Sindh Agriculture University, Tandojam
    for three irrigation events. To achieve the objectives of the study two different methods viz. Upadhyaya
    and Raghuwanshi and Valiantzas one-point, were tested against the two-point method. Evaluation of
    employed methods was undertaken to know the best method for the prediction of cumulative infiltration
    and advance. The results revealed that Upadhyaya and Raghuwanshi (ME=-5.25) and Valiantzas onepoint
    (ME=-0.99) are unsuitable for silt loam soil with their original constants as these methods show
    great scatter when compared with reference method and measured data. Thus, it is suggested that these
    methods must be evaluated before use.
  9. Elsiti, N.M., Noordin, M.Y., Idris, A.
    MyJurnal
    Micro Electro Discharge Machining (micro-EDM) is widely used for producing different types of micro features and micro components. Tool wear rate (TWR) is an important factor that affects the accuracy of machining as well as the productivity of micro-EDM process. This study examines the effects of process parameters and the use of Maghemite (γ-Fe2O3) nano-powder mixed dielectric medium on tool wear rate when micro-EDM Co-Cr-Mo. A Copper electrode with 300 μm diameter and positive polarity was used to evaluate the machining process by focusing on TWR. Two different concentrations of nano-powder (i.e., 2 g/l and 4 g/l) were added to the dielectric. Results showed that increasing the discharge current and voltage leads to a corresponding increase in TWR, while the presence of γ-Fe2O3 nano-powder in the dielectric liquid decreases TWR. Mixed micro-EDM with 2 g/l of nano-powder achieved a lower TWR.
    MeSH terms: Body Fluids; Copper; Electrodes; Ferric Compounds; Health Services; Powders
  10. Burnham D, Singh L, Mattock K, Woo PJ, Kalashnikova M
    Front Psychol, 2017;8:2190.
    PMID: 29354077 DOI: 10.3389/fpsyg.2017.02190
    This study compared tone sensitivity in monolingual and bilingual infants in a novel word learning task. Tone language learning infants (Experiment 1, Mandarin monolingual; Experiment 2, Mandarin-English bilingual) were tested with Mandarin (native) or Thai (non-native) lexical tone pairs which contrasted static vs. dynamic (high vs. rising) tones or dynamic vs. dynamic (rising vs. falling) tones. Non-tone language, English-learning infants (Experiment 3) were tested on English intonational contrasts or the Mandarin or Thai tone contrasts. Monolingual Mandarin language infants were able to bind tones to novel words for the Mandarin High-Rising contrast, but not for the Mandarin Rising-Falling contrast; and they were insensitive to both the High-Rising and the Rising-Falling tone contrasts in Thai. Bilingual English-Mandarin infants were similar to the Mandarin monolinguals in that they were sensitive to the Mandarin High-Rising contrast and not to the Mandarin Rising-Falling contrast. However, unlike the Mandarin monolinguals, they were also sensitive to the High Rising contrast in Thai. Monolingual English learning infants were insensitive to all three types of contrasts (Mandarin, Thai, English), although they did respond differentially to tone-bearing vs. intonation-marked words. Findings suggest that infants' sensitivity to tones in word learning contexts depends heavily on tone properties, and that this influence is, in some cases, stronger than effects of language familiarity. Moreover, bilingual infants demonstrated greater phonological flexibility in tone interpretation.
    MeSH terms: Accidental Falls; Humans; Infant; Language; Language Development; Learning; Thailand; Verbal Learning; Multilingualism
  11. Sinthubua A, Ruengdit S, Das S, Mahakkanukrauh P
    Anat Cell Biol, 2017 Dec;50(4):261-264.
    PMID: 29354297 DOI: 10.5115/acb.2017.50.4.261
    Sex estimation is one of the crucial procedures in the biological profile identification of human skeletal remains. Knowing sex of unknown case can lead to accurate and appropriate methods for predicting age, stature, ancestry, or even personal identification. Skull is one of the most reliable one among other skeletons and it is usually retained for both archaeological and forensic contexts. Although many morphological features and metric measurements of skull have been studied for sexing, but to the best of our knowledge is no study on maxillary suture length for sex estimation. Therefore, this study aims to develop a new sex estimation method for a Thai population by determining three maxillary suture lengths: anterior, transverse, and posterior maxillary suture, by computerizing amount of pixel obtained from photographs of these sutures. The present study was conducted on 190 Thai bone samples of which 96 were males and 94 were females. Independent t test revealed statistically significant difference (P<0.01) between males and females in all maxillary suture measurements. Equations derived from prediction model, which required three maxillary suture lengths gave 76.8421% accuracy from the leave-one-out cross validation in estimating sex percentage accuracies in predicting sex from these equations, which were relatively moderate. This study provides a novel and objective sex estimation method for Thais. It suggests that maxillary suture length can be applied for sex estimation. The new computerized technique will contribute basis knowledge and method for sex estimation, especially when only base of skull is available in forensic circumstance.
    MeSH terms: Body Height; Female; Humans; Male; Maxilla; Skeleton; Sutures; Thailand; Skull Base; Body Remains
  12. Saleem A, Masood I, Khan TM
    Integr Pharm Res Pract, 2017;6:71-77.
    PMID: 29354553 DOI: 10.2147/IPRP.S128816
    Background: Chronic kidney disease (CKD) alters the pharmacokinetic and pharmacodynamic responses of various renally excreted drugs and increases the risk of drug-related problems, such as drug-drug interactions.

    Objectives: To assess the pattern, determinants, and clinical relevancy of potential drug-drug interactions (pDDIs) in CKD patients.

    Materials and methods: This study retrospectively reviewed medical charts of all CKD patients admitted in the nephrology unit of a tertiary care hospital in Pakistan from January 2013 to December 2014. The Micromedex Drug-Reax® system was used to screen patient profiles for pDDIs, and IBM SPSS version 20 was used to carry out statistical analysis.

    Results: We evaluated 209 medical charts and found pDDIs in nearly 78.5% CKD patients. Overall, 541 pDDIs were observed, of which, nearly 60.8% patients had moderate, 41.1% had minor, 27.8% had major, and 13.4% had contraindicated interactions. Among those interactions, 49.4% had good evidence, 44.0% had fair, 6.3% had excellent evidence, and 35.5% interactions had delayed onset of action. The potential adverse outcomes of pDDIs included postural hypotension, QT prolongation, ceftriaxone-calcium precipitation, cardiac arrhythmias, and reduction in therapeutic effectiveness. The occurrence of pDDIs was found strongly associated with the age of <60 years, number of prescribed medicines ≥5, hypertension, and the lengthy hospitalization of patients.

    Conclusion: The occurrence of pDDIs was high in CKD patients. It was observed that CKD patients with an older age, higher number of prescribed medicines, lengthy hospitalization, and hypertension were at a higher risk of pDDIs.

  13. Hadi MA, Neoh CF, Zin RM, Elrggal ME, Cheema E
    Integr Pharm Res Pract, 2017;6:91-98.
    PMID: 29354555 DOI: 10.2147/IPRP.S105881
    Globally, adverse drug reactions (ADRs), one of the leading causes of morbidity and mortality, will continue to pose a threat to public health as long as drugs are being used to treat various ailments. Prompt ADR reporting is crucial in ensuring drug safety. The aim of this narrative review was to highlight the role of pharmacists in pharmacovigilance and to identify barriers and facilitators toward ADR reporting documented in the literature. The perspective of pharmacy students on pharmacovigilance and ADR reporting has also been discussed with an aim to highlight the need to improve content related to ADR reporting and pharmacovigilance in undergraduate pharmacy curriculum. Globally, although the role of pharmacists within national pharmacovigilance systems varies, it is very well recognized. In general, pharmacists acknowledge that ADR reporting is part of their professional responsibility and have a positive attitude toward reporting ADRs. However, current research evidence suggests that there are still critical knowledge gaps with regard to ADR reporting among pharmacists, especially in countries where the role of pharmacists within the health care system is limited. These knowledge gaps can be fulfilled through continuous professional development programs and reinforcing theoretical and practical knowledge in undergraduate pharmacy curriculums. Without adequately identifying and fulfilling training needs of pharmacists and other health care professionals, the efficiency of national pharmacovigilance systems is unlikely to improve which may compromise patient's safety.
  14. Rukayadi, Y., Abdulkarim, S.M., Sulaiman, R., Abdelkarim, H.
    MyJurnal
    Plants have been used recently to eliminate bacterial growth in food products. This study was undertaken to test the in vitro sanitizing effect of crude extract from bitter gourd (BG) fruit on the growth of native microorganisms in raw chicken leg meat. Hot air dried BG and extrudate extracts at 1% concentration and exposure times of (5, 10 and 15 min) were used to treat the samples using dilution method. Results showed that BG extrudate had a slightly stronger bactericidal activity against the microflora than the B.G. hot air drying treatment, especially, on E. coli at all exposure time. Overall, there is no significant difference between the treatments; Total Plate Count (TPC), Escherichia coli, Bacillus cereus, Staphylococcus aureus. The best reduction time of microflora by hot air dried extract was at (15 min) except for B. cereus was at (5 min) and for extrudate extract was at (5 min) except for E. coli was at (10 min). In conclusion, bitter gourd extract could be used as an important natural sanitizer for rinsing raw food matrials such chicken meat.
    MeSH terms: Gastrointestinal Microbiome; Animals; Bacillus cereus; Biological Phenomena; Chickens; Escherichia coli; Fruit; Meat; Physiological Phenomena; Staphylococcal Infections; Staphylococcus aureus; Momordica charantia; Complex Mixtures; Raw Foods
  15. Lihan, S., Tian, P.K,, Chiew, T.S., Ching, C.L., Shahbudin, A., Hussain, H., et al.
    MyJurnal
    Enterobacteriaceae is a large family within the Gram-negative bacteria that primarily inhabits in the gastrointestinal tract of human and animals. The bacteria within this group are readily survived in the environment with some species found living free in the water where energy sources are scarce, making them ideal indicators for faecal contamination of the river water. Some species within the family have been used as indicator for the presence of pathogenic bacteria whilst on the other hand some species have been directly associated with various diseases in human and animals. The main aim of this research study was to determine the distribution and characteristics of the Enterobacteriaceae in water samples collected from river and waterfalls within a community resort. The health risk associated with the bacteria was analysed with regard to their susceptibility to antibiotics. Samples were collected from surface water and water falling down directly from waterfalls of river within the community resort. The samples collected were plated onto Eosine Methylene Blue agar (EMBA) for the isolation of the Enterobacteriaceae. Bacterial colonies growing on the agar were randomly picked, purified, stocked and then identified using API 20E identification kit. DNA fingerprinting using (GTG)5-PCR was utilised to determine their genetic profiles before the isolates were grouped into a dendrogram using RAPDistance software package. The level of antibiotic susceptibility of the bacteria isolates was analysed using disc diffusion technique. This study confirmed the presence of Enterobacter, Klebsiella, Citrobacter, Pantoea and Serratia in the water samples with their single and multiple antibiotic resistance and susceptible characteristics. The dendrogram presented in this study shows genetic similarities and differences among the strains, suggesting while there is a potential for single distribution of a clone, there is also possibility of the distribution of different strains within species in the water environment. Therefore, awareness on the potential risk associated with genetically diverse intermediate and resistant enteric bacteria in the recreational water should be communicated to the public especially communities within the study area.
    MeSH terms: Gastrointestinal Microbiome; Agar; Animals; Anti-Bacterial Agents; Citrobacter; Drug Resistance, Microbial; Enterobacter; Eosine Yellowish-(YS); Feces; Gram-Negative Bacteria; Humans; Klebsiella; Methylene Blue; Serratia; Software; Water; Polymerase Chain Reaction; DNA Fingerprinting; Pantoea; Gastrointestinal Tract; Rivers
  16. Ismail, I., Yap, B.W., Abidin, A.S.Z.
    MyJurnal
    Prolonged mechanical ventilation (PMV) is associated with increase in mortality and resource utilisation as well as hospitalisation costs. This study evaluates the risk factors of PMV. A retrospective study was conducted involving 890 paediatric patients comprising 237 neonates, 306 infants, 223 of pre-school age and 124 who are of school going age. The data mining decision trees algorithms and logistic regression was employed to develop predictive models for each age category. The independent variables were classified into four categories, that is, demographic data, admission factors, medical factors and score factors. The dependent variable is the duration of ventilation where it is categorized 0 denoting non-PMV and 1 denoting PMV. The performances of three decision tree models (CHAID, CART and C5.0) and logistic regression were compared to determine the best model. The results indicated that the decision tree outperformed the logistic regression model for all age categories, given its good accuracy rate for testing dataset. Decision trees results identified length of stay and inotropes as significant risk factors in all age categories. PRISM 12 hours and principal diagnosis were identified as significant risk factors for infants.
    MeSH terms: Algorithms; Child; Child, Preschool; Decision Trees; Demography; Health Resources; Humans; Infant; Infant, Newborn; Length of Stay; Respiration, Artificial; Retrospective Studies; Risk Factors; Effect Modifier, Epidemiologic; Logistic Models; Hospital Costs; Data Mining
  17. Mohamad, D., Hanif, H.M., Dom, R.M.
    MyJurnal
    Complexity has been discussed in decision making, computational, task complexity, activity network,
    supply chain, imaging, project management and mechanical. This paper reviews the definition of
    complexity and the preliminary-related definitions of complexity index in decision making. It proposes
    a complexity index for decision making, its properties, and implementation.
    MeSH terms: Decision Making
  18. Muniroh, M.F., Ismail, N., Lazim, M.A.
    MyJurnal
    Combining forecast values based on simple univariate models may produce more favourable results than complex models. In this study, the results of combining the forecast values of Naïve model, Single Exponential Smoothing Model, The Autoregressive Moving Average (ARIMA) model, and Holt Method are shown to be superior to that of the Error Correction Model (ECM).Malaysia’s unemployment rates data are used in this study. The independent variable used in the ECM formulation is the industrial production index. Both data sets were collected for the months of January 2004 to December 2010. The selection criteria used to determine the best model, is the Mean Square Error (MSE), Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE). Initial findings showed that both time series data sets were not influenced by the seasonality effect.
    MeSH terms: Chemistry, Pharmaceutical; Forecasting; Malaysia; Unemployment; Models, Statistical; Patient Selection; Moclobemide
  19. Hisham, A.F.B., Jaffar, M.M., Othman, J.
    MyJurnal
    There are many research papers on implementing the salam structure in the financial system. This
    study introduces a mathematical model of salam contract with credit risk that can be used as an Islamic financial derivative. It explores the properties of salam contract and the credit model that represents it, that is, the structural model with the default event on maturity of the salam contract.
    MeSH terms: Models, Theoretical; Research; Risk; Contracts
  20. Lee, L.C., Liong, C-Y., Khairul, O., Jemain, A.A.
    MyJurnal
    Spectral data is often required to be pre-processed prior to applying a multivariate modelling technique. Baseline correction of spectral data is one of the most important and frequently applied pre-processing procedures. This preliminary study aims to investigate the impacts of six types of baseline correction algorithms on classifying 150 infrared spectral data of three varieties of paper. The algorithms investigated were Iterative Restricted Least Squares, Asymmetric Least Squares (ALS), Low-pass FFT Filter, Median Window (MW), Fill Peaks and Modified Polynomial Fitting. Processed spectral data were then analysed using Principal Component Analysis (PCA) to visually examine the clustering among the three varieties of paper. Results show that separation among the three varieties of paper is greatly improved after baseline correction via ALS, FP and MW algorithms.
    MeSH terms: Algorithms; Office Automation; Paper; Cluster Analysis; Least-Squares Analysis; Principal Component Analysis
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